Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Evaluating the Impact of Sequencing Depth on Transcriptome Profiling in Human Adipose

ABSTRACT: Recent advances in RNA sequencing (RNA-Seq) have enabled the discovery of novel transcriptomic variations that are not possible with traditional microarray-based methods. Tissue and cell specific transcriptome changes during pathophysiological stress, in disease cases versus controls and in response to therapies are of particular interest to investigators studying cardiometabolic diseases. Thus, knowledge on the relationships between sequencing depth and detection of transcriptomic variation is needed for designing RNA-Seq experiments and for interpreting results of analyses. Using deeply sequenced RNA-Seq data derived from adipose of a healthy individual before and after systemic administration of endotoxin (LPS), we investigated the sequencing depths needed for studies of gene expression and alternative splicing (AS). We found that to detect expressed genes and AS events, ~100 million (M) filtered reads were needed. However, the requirement on sequencing depth for the detection of LPS modulated differential expression (DE) and differential alternative splicing (DAS) was much higher. To detect 80% of events, ~300M filtered reads were needed for DE analysis whereas at least 400M filtered reads were necessary for detecting DAS. Although the majority of expressed genes and AS events can be detected with modest sequencing depths (~100M filtered reads), the estimated gene expression levels and exon/intron inclusion levels were less accurate. We report the first study that evaluates the relationship between RNA-Seq depth and the ability to detect DE and DAS in human adipose. Our results suggest that a much higher sequencing depth is needed to reliably identify DAS events than for DE genes. Random sampling the RNA-seq data in different depth for gene and alternative-splicing analysis

ORGANISM(S): Homo sapiens

SUBMITTER: Yichuan Liu

PROVIDER: E-GEOD-46323 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Publications

Evaluating the impact of sequencing depth on transcriptome profiling in human adipose.

Liu Yichuan Y Ferguson Jane F JF Xue Chenyi C Silverman Ian M IM Gregory Brian B Reilly Muredach P MP Li Mingyao M

PloS one 20130624 6

Recent advances in RNA sequencing (RNA-Seq) have enabled the discovery of novel transcriptomic variations that are not possible with traditional microarray-based methods. Tissue and cell specific transcriptome changes during pathophysiological stress in disease cases versus controls and in response to therapies are of particular interest to investigators studying cardiometabolic diseases. Thus, knowledge on the relationships between sequencing depth and detection of transcriptomic variation is n ...[more]

PMID: 23826166

Similar Datasets

Project description:We have used genome editing to generate inactivating deletion mutations in all three copies of the dicer (hdcr) gene present in the human cell line 293T. As previously shown in murine ES cells lacking Dicer function, hDcr-deficient 293T cells are severely impaired for the production of mature microRNAs (miRNAs). Nevertheless, RNA-induced silencing complexes (RISCs) present in these hDcr-deficient cells are readily programmed by transfected, synthetic miRNA duplexes to repress mRNAs bearing either fully or partially complementary targets, including targets bearing incomplete seed homology to the introduced miRNA. Using these hDcr-deficient 293T cells, we demonstrate that human pre-miRNA processing can be effectively rescued by ectopic expression of the Drosophila Dicer 1 protein, but only in the presence of the PB isoform of Loquacious (Loqs-PB), the fly homolog of the hDcr co-factor TRBP. In contrast, Drosophila Dicer 2, even in the presence of its co-factors Loqs-PD and R2D2, was unable to support human pre-miRNA processing. Interestingly, although ectopic Drosophila Dicer 1/Loqs-PB or hDcr both rescued pre-miRNA processing effectively in these hDcr-deficient cells, there were significant differences in the ratio of the miRNA isoforms that were produced, especially in the case of miR-30 family members, and we also noted differences in the relative expression level of miRNAs versus passenger strands for a subset of human miRNAs. These data demonstrate that the mechanisms underlying the accurate processing of pre-miRNAs are largely, but not entirely, conserved between mammalian and insect cells. Series includes three datasets of total small RNA reads from wild type and Dicer negative 293T cells. Also included are total small RNA reads of the Dicer-negative cell line NoDice(4-25) transfected with a vector expressing human Dicer, Drosophila Dicer1, or mock transfected. RISC-associated small RNAs identified by ribonucleoprotein immunoprecipitation (RIP-Seq) in wild type 293T, Dicer-negative NoDice(4-25) line, and NoDice(4-25) transfected with either hsa-miR-155 or kshv-miR-K12-11 miRNA duplexes. The final data series are PAR-CLIP libraries which identified microRNA targets in untransfected NoDice(4-25) cells and NoDice(4-25) cells transfected with either hsa-miR-92a, hsa-miR-155, kshv-miR-K12-11 miRNA duplexes

Dataset Information

Evaluating the Impact of Sequencing Depth on Transcriptome Profiling in Human Adipose

Publications

Evaluating the impact of sequencing depth on transcriptome profiling in human adipose.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure